@Marvin Is it possible to annotate class functions with the task + flow operators and can you show examples if so

Yes, you can annotate class functions with the task and flow decorators in Prefect. Here are some examples: ### Task and Flow Decorators in a Class 1. Basic Task and Flow Example:

python
from prefect import flow, task

class MyClass:
    @task
    def add(self, x: int, y: int) -> int:
        return x + y

    @flow
    def my_flow(self):
        first_result = self.add(1, 2)
        second_result = self.add(first_result, first_result)
        return self.add(first_result, second_result)

if __name__ == "__main__":
    instance = MyClass()
    print(instance.my_flow().result())

2. Using Task Run Names and Templates:

python
from prefect import flow, task

class MyClass:
    @task(task_run_name="Adding {x} and {y}")
    def add(self, x: int, y: int) -> int:
        return x + y

    @flow
    def my_flow(self):
        first_result = self.add(1, 2)
        second_result = self.add(first_result, first_result)
        return self.add(first_result, second_result)

if __name__ == "__main__":
    instance = MyClass()
    print(instance.my_flow().result())

### Source and Additional Information: - Prefect Tasks Documentation - Prefect Flows Documentation - Code Example for Tasks and Flows By using these decorators in your class methods, you can harness the full power of Prefect's workflows in an object-oriented manner.

@Marvin This errors with "prefect.exceptions.ParameterBindError: Error binding parameters for function 'add': missing a required argument: 'self'".

Ah, the dreaded parameter bind error. Prefect task and flow decorators don't natively support class methods due to the need for

self

to be passed implicitly. However, there's a workaround using

partial

from Python's

functools

to pre-bind the

self

parameter. Here's an updated example demonstrating this approach: 1. Using functools.partial with Class Methods in Prefect:

python
from prefect import flow, task
from functools import partial

class MyClass:
    def __init__(self):
        self._add_task = partial(self.add_method_decorator, self)

    @staticmethod
    @task
    def add_method_decorator(instance, x: int, y: int) -> int:
        return instance.add(x, y)
    
    def add(self, x: int, y: int) -> int:
        return x + y

    @flow
    def my_flow(self):
        first_result = self._add_task(1, 2)
        second_result = self._add_task(first_result.result(), first_result.result())
        return self._add_task(first_result.result(), second_result.result())

if __name__ == "__main__":
    instance = MyClass()
    print(instance.my_flow().result())

Here: - The

add

method is defined normally in the class. -

add_method_decorator

is a decorated static method that requires the instance (

self

) as the first argument. -

partial

is used to bind

self

to the

add_method_decorator

, thereby creating

self._add_task

. ### Source and Additional Information: - Prefect Documentation - functools.partial Documentation Using these changes, the methods should work properly within Prefect flows and tasks.